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Phd Signal Processing Jobs in Colorado (NOW HIRING)

Eng Sr Prin II - Sys

Westminster, CO · On-site

$149K - $254K/yr

... signal processing, and mission integration, and a demonstrated ability to influence technical ... MD/PhD in Engineering, Physics, or related field preferred. * AESA and phased array systems.

Experimental Physicist - CO

Broomfield, CO · On-site

$123K - $170K/yr

PhD completed prior to starting * Minimum 4+ years' experience (PhD inclusive) involving one or ... Experience programming experimental control systems for data collection, signal processing, and ...

MS or PhD in Electrical Engineering, or related field. * 10+ years of post-degree experience as a ... Experience in implementing large digital signal processing blocks in RTL * Working knowledge of ...

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Principal ASIC Design Engineer

Boulder, CO · On-site

$180K - $220K/yr

MS or PhD in Electrical Engineering, or related field. * 10+ years of post-degree experience as a ... Experience in implementing large digital signal processing blocks in RTL * Working knowledge of ...

Atomic Source Physicist - 869

Broomfield, CO · On-site

$135K - $180K/yr

PhD completed prior to start * Minimum of 5+ years (PhD inclusive) of atomic physics experience ... Experience programming experimental control systems for data collection, signal processing, and ...

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Phd Signal Processing information

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data science, or certain executive roles can earn $500,000 or more annually. These positions often require advanced skills, leadership responsibilities, and work in high-demand industries or companies with competitive compensation packages.

What are PhD Signal Processing professionals?

PhD Signal Processing professionals are experts who have earned a Doctor of Philosophy (PhD) in the field of signal processing, which involves analyzing, modifying, and interpreting signals such as sound, images, and scientific measurements. They apply advanced mathematical and computational techniques to extract meaningful information from complex data. These specialists often work in research, academia, telecommunications, medical imaging, audio engineering, and other industries that require sophisticated data analysis. Their work is crucial in developing technologies like speech recognition, radar systems, and biomedical devices.

What can I do with a PhD in radiology?

A PhD in radiology prepares individuals for research, development, and academic roles focused on medical imaging technologies such as MRI, CT, and ultrasound. Graduates often work in universities, research institutions, or industry settings, utilizing skills in signal processing, image analysis, and data interpretation to advance diagnostic methods and imaging software. Additional certifications or collaborations with clinical professionals may be required for clinical applications.

Is signal processing in demand?

Signal processing is in high demand across industries such as telecommunications, aerospace, healthcare, and defense, where expertise in algorithms, data analysis, and software tools like MATLAB or Python is valued. Professionals with a PhD in signal processing are often sought for research, development, and advanced system design roles, especially in areas like sensor data analysis and machine learning integration.

What are some common challenges faced by professionals in PhD-level Signal Processing roles and how can they be addressed?

PhD-level Signal Processing professionals often encounter challenges such as managing large, complex datasets and developing novel algorithms that balance accuracy and computational efficiency. Staying current with rapidly evolving technologies and research can also be demanding. These challenges are typically addressed through ongoing professional development, collaboration with multidisciplinary teams, and leveraging advanced computational tools. Regularly participating in conferences, workshops, and peer discussions can also help professionals overcome research hurdles and stay innovative in their field.

What are the key skills and qualifications needed to thrive as a PhD Signal Processing specialist, and why are they important?

To thrive as a PhD Signal Processing specialist, you need deep expertise in mathematics, statistical analysis, and advanced signal processing algorithms, underpinned by a doctoral degree in electrical engineering or a related field. Proficiency in MATLAB, Python, C++, and experience with simulation tools and machine learning frameworks are commonly required, along with publications or research experience. Strong analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are vital for designing innovative solutions, advancing research, and conveying complex findings to both technical and non-technical stakeholders.

What is the difference between Phd Signal Processing vs Signal Processing Engineer?

AspectPhd Signal ProcessingSignal Processing Engineer
Required CredentialsPhD in Signal Processing or related fieldBachelor's or Master's in Electrical Engineering, Computer Science, or related field
Work EnvironmentResearch labs, academia, R&D departmentsIndustry, technology companies, product development
Employer & Industry UsageUniversities, research institutions, some tech companiesTech firms, telecommunications, aerospace, defense
Common Search & ComparisonYesYes

The main difference between Phd Signal Processing and Signal Processing Engineer lies in their focus and credentials. A PhD typically involves advanced research, theoretical work, and academic or R&D roles, while a Signal Processing Engineer applies practical skills in industry to develop and implement signal processing solutions. Both roles require knowledge of signal processing concepts, but their work environments and career paths differ significantly.

Will DSP be replaced by AI?

Digital Signal Processing (DSP) is a fundamental skill for signal processing professionals, including those with a PhD in the field. While AI and machine learning techniques are increasingly integrated into signal analysis, they complement rather than replace traditional DSP methods, which remain essential for real-time processing and system design. Signal processing roles often require expertise in both DSP algorithms and AI tools to develop advanced solutions.
What cities in Colorado are hiring for Phd Signal Processing jobs? Cities in Colorado with the most Phd Signal Processing job openings:
Infographic showing various Phd Signal Processing job openings in Colorado as of June 2026, with employment types broken down into 2% Internship, and 98% Full Time. Highlights an 94% In-person, and 6% Remote job distribution.

Graduate (6-12 months) Power System Stability Analysis Intern

Nrel

Golden, CO • On-site

$14.50 - $19.50/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 20 days ago


Job description

Posting TitleGraduate (6-12 months) Power System Stability Analysis Intern

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LocationCO - Golden

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Position TypeIntern (Fixed Term)

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Hours Per Week40

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Working at NLRNLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.

Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.

At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.

Job Description

We are seeking a talented and motivated Power System Stability Analysis Engineer to join our team in a cutting-edge project focused on the stability analysis of power systems with a high penetration of Inverter-Based Resources (IBRs). As IBRs become increasingly prevalent, their integration into power grids presents unique challenges in grid stability, oscillation detection, and control. This project involves analyzing and interpreting real-time data from over 100 Phasor Measurement Units (PMUs) installed across the system to identify grid disturbances, detect oscillations, and assess system strength.

Job Responsibilities include but may not be limited to:

  • Analyzing PMU data (from more than 100 PMUs) to monitor power system stability and detect grid disturbances
  • Create visualizations of grid strength and stability based on PMU Data such as heat maps of grid inertia, voltage profile, equivalent short circuit ratio etc.
  • Develop techniques that will improve the resilience and reliability of future power grids, particularly in systems dominated by IBRs
  • Produce detailed reports on oscillation detection, system strength assessment, and grid stability findings
  • Provide recommendations for mitigating potential stability risks
  • Collaborate with power system engineers, control experts, and software developers to refine system models, improve analysis techniques, and support operational decision-making
  • Contribute towards technical documentation and the generation of research papers

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Basic QualificationsMinimum of a 3.0 cumulative grade point average.
Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution.
Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution.
Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution.
Please Note:
Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process.
If selected for position, a letter of recommendation will be required as part of the hiring process.
Must meet educational requirements prior to employment start date.

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications
  • Must have completed a bachelor's degree and either be enrolled in or recently graduated from a master's program, or be enrolled in a PhD program in, electrical engineering with power systems stability, with focus on power systems dynamics/stability
  • Demonstrated experience in power system stability analysis, particularly in IBR-dominant grids
  • Proven experience in PMU data analysis, including oscillation detection, system stability analysis, and event identification
  • Demonstrated knowledge of power system stability metrics such as Equivalent Short-Circuit Ratio (ESCR), system inertia estimation, and oscillation mode identification
  • Demonstrated experience in signal processing such as time-domain signal processing ( i.e. filtering, noise reduction, event and disturbance detection etc.) and frequency-domain techniques (i.e. fast Fourier transformation, mode and oscillation analysis etc.)
  • Demonstrated proficiency in python programming or other major programming language
  • Demonstrated experience in power system simulation software (e.g., MATLAB/SIMULINK/PSCAD)
  • Strong analytical and problem-solving abilities, with the capacity to work with large datasets and derive actionable insights
Preferred Qualifications
  • Current PhD student in electrical engineering with a power systems focus

  • Knowledge or experience in frequency-domain analysis and time-domain analysis for power systems

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Job Application Submission Window

The anticipated closing window for application submission is up to 30 days and may be extended as needed.

Annual Salary Range (based on full-time 40 hours per week)Job Profile: / Annual Salary Range: $51,200 - $81,900

NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.

Benefits SummaryBenefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits.

* Based on eligibility rules

Badging RequirementNLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement.Drug Free Workplace

NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.

If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.

Submission Guidelines

Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

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Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

Reasonable Accommodations

E-Verify www.dhs.gov/E-Verify For information about right to work, click here for English or here for Spanish.

E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.